When we define data in terms of source, intellectual properties attached, usage 
licenses and some additional we may be able to define isomorphic or homomorphic 
definitions similar to Linked Data with RDF as key instrument.

Increasingly data is ported over mobile and wireless networks which defines new 
channels of aggregating, gathering, converting and consuming data and in this 
environment the semantic interfacing of processes, apps and other interaction 
agents becomes increasingly more important.

What we need is a very generalized scheme which in a special case reduces to 
Linked Data RDF based.

I started a thread some 3.5 years ago about genetic algorithms that like DNA, 
tRNA and mRNA all have different ways of using basic building blocks with 
unique templates for interfacing to assemble large code segments.

Currently DNA is being looked at for data storage.

Maybe the bio-molecular world of DNA replication may provide some valuable 
insights into how interacting homomorphic and isomorphic systems can 
collectively provide a comprehensive and more diverse linked data paradigm made 
operational.

It makes more sense mathematically and logically, a (minimal) set of 
co-existing conceptual and logical frameworks each with its own operational 
definitions and component structures.

It is obvious that Linked Data/RDF is not the minimal set and I dare anyone to 
prove otherwise.

 
Milton Ponson
GSM: +297 747 8280
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean
Project Paradigm: A structured approach to bringing the tools for sustainable 
development to all stakeholders worldwide by creating ICT tools for NGOs 
worldwide and: providing online access to web sites and repositories of data 
and information for sustainable development

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